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Valuation: A New Approach to Measure the Performance of Last Planner System

Received: 6 December 2021     Accepted: 23 December 2021     Published: 12 January 2022
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Abstract

The Last Planner System (LPS) is a production planning and control system that utilizes the lean construction philosophy to improve workflow reliability. Although there are several metrics developed to measure the performance of LPS, the current metrics fail to genuinely reflect the actual performance of LPS. The literature review shows no evidence of existing researches that provide a holistic approach to measure the performance of LPS. Consequently, this research aims to propose a new holistic approach to measure the performance of LPS called valuation. The objectives of this research are: (1) to provide an overview of the current metrics used to measure the performance of LPS, (2) to propose 10 steps to measure the performance of LPS based on the valuation approach, (3) to utilize the valuation approach to derive numerous metrics based on all possible relationships between the main and sub (i.e., activity and constraint) categories of LPS that currently available or may emerge in the future. This research contributes to the body of knowledge by deriving metrics based on the valuation approach that are significantly more comprehensive and mathematically more robust since they integrate several criteria and rely on the value rather than the number or amount of activities or constraints. Hence, the valuation approach generates more accurate results. Moreover, the valuation approach can help the construction professionals to track the performance of LPS across phases or even projects by accumulating the data and measuring the proposed metrics.

Published in American Journal of Engineering and Technology Management (Volume 7, Issue 1)
DOI 10.11648/j.ajetm.20220701.11
Page(s) 1-7
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Lean Construction, Last Planner System, Approach, Valuation, Metrics

References
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[2] Hamzeh FR, Samad G El, Emdanat S. Advanced Metrics for Construction Planning 2019; 145: 1–16.
[3] Emdanat S, Azambuja M. Aligning Near and Long Term Planning for LPS Implementations: A Review of Existing and New Metrics. 24th Annu. Conf. Int. Gr. Lean Constr., Boston: IGLC; 2016, p. 103–12.
[4] Ballard G. The last planner system of production control. PhD Dissertation, School of Civil Engineering, University of Birmingham, Birmingham, 2000.
[5] Tommelein I, Ballard G. Look-ahead planning: screening and pulling. University of California, California: 1997.
[6] Ballard G, Howell G. An Update on Last Planner. 11th Annu. Conf. Int. Gr. Lean Constr., Virginia: IGLC; 2003.
[7] Ballard G. Lookahead Planning: The Missing Link in Production Control. In: Tucker SN, editor. 5th Annu. Conf. Int. Gr. Lean Constr., Gold Coast: IGLC; 1997, p. 13–26.
[8] Ballard G, Howell G. Implementing Lean Construction: Stabilizing the Work Flow. 2th Annu. Conf. Int. Gr. Lean Constr., Santiago: LCI; 1994, p. 101–10.
[9] Ballard G, Howell G. Shielding Production: Essential Step in Production Control. J Constr Eng Manag 1998; 124: 11–7.
[10] Chitla VR, Abdelhamid TS. Comparing Process Improvement Initiatives Based on Percent Plan Complete and Labour Utilization Factors. 11th Annu. Conf. Int. Gr. Lean Constr., Virginia: IGLC; 2003.
[11] Mitropoulos PT. Planned Work Ready: A Proactive Metric for Project Control. 13th Annu. Conf. Int. Gr. Lean Constr., Sydney: IGLC; 2005, p. 235–42.
[12] Jang JW, Kim YW. Use of Percent of Constraint Removal to Measure the Make Ready Process. In: Pasquire CL, Tzortzopoulos P, editors. 15th Annu. Conf. Int. Gr. Lean Constr., East Lansing: IGLC; 2007, p. 529–38.
[13] Gonzalez V, Alarcon LF, Mundaca F. Investigating the relationship between planning reliability and project performance. Prod Plan Control 2008; 19: 461–74.
[14] Priven V, Sacks R, Seppänen O, Savosnick J. A Lean Workflow Index for Construction Projects. In: Kalsaas BT, Koskela L, Saurin TA, editors. 22nd Annu. Conf. Int. Gr. Lean Constr., Oslo: IGLC; 2014, p. 715–26.
[15] El-Samad G, Hamzeh FR, Emdanat S. Last Planner System – The Need for New Metrics. In: Walsh K, Sacks R, Brilakis I, editors. 25th Annu. Conf. Int. Gr. Lean Constr., vol. 2, Heraklion: IGLC; 2017, p. 637–44.
[16] Hamzeh FR. Improving construction workflow – the role of production planning and control. PhD Dissertation, Civil and Environmental Engineering Department, University of California, Berkeley, 2009.
[17] Triantaphyllou E. Multi-Criteria Decision Making Methods: A Comparative Study. Dordrecht: Springer; 2000.
[18] Keeney RL, Raiffa H. Decision with Multiple Objectives: Preferences and Value Tradeoffs. New York: Wiley; 1976.
[19] Baker D, Bridges D, Hunter R, Johnson G, Krupa J, Murphy J, et al. Guidebook to Decision–Making Methods. US Department of Energy, Washington: 2001.
[20] Saaty TL. The Analytic Hierarchy Process. New York: McGraw-Hill; 1980.
[21] Saaty TL. Fundamentals of Decision Making and Priority Theory with the AHP. Pittsburgh: RWS Publications; 1994.
[22] Miller CA. The Magic Number Seven Plus or Minus Two: Some Limits on Our Capacity for Processing Information. Psychol Rev 1956; 13: 81–97.
[23] Gerald W. Evans. Multiple Criteria Decision Analysis for Industrial Engineering: Methodology and Applications. New York: CRC Press; 2017.
[24] Gwo-Hshiung T, Jih-Jeng H. Multiple Attribute Decision Making: Methods and Applications. New York: CRC Press; 2011.
Cite This Article
  • APA Style

    Osama Abusalem. (2022). Valuation: A New Approach to Measure the Performance of Last Planner System. American Journal of Engineering and Technology Management, 7(1), 1-7. https://doi.org/10.11648/j.ajetm.20220701.11

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    ACS Style

    Osama Abusalem. Valuation: A New Approach to Measure the Performance of Last Planner System. Am. J. Eng. Technol. Manag. 2022, 7(1), 1-7. doi: 10.11648/j.ajetm.20220701.11

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    AMA Style

    Osama Abusalem. Valuation: A New Approach to Measure the Performance of Last Planner System. Am J Eng Technol Manag. 2022;7(1):1-7. doi: 10.11648/j.ajetm.20220701.11

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  • @article{10.11648/j.ajetm.20220701.11,
      author = {Osama Abusalem},
      title = {Valuation: A New Approach to Measure the Performance of Last Planner System},
      journal = {American Journal of Engineering and Technology Management},
      volume = {7},
      number = {1},
      pages = {1-7},
      doi = {10.11648/j.ajetm.20220701.11},
      url = {https://doi.org/10.11648/j.ajetm.20220701.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajetm.20220701.11},
      abstract = {The Last Planner System (LPS) is a production planning and control system that utilizes the lean construction philosophy to improve workflow reliability. Although there are several metrics developed to measure the performance of LPS, the current metrics fail to genuinely reflect the actual performance of LPS. The literature review shows no evidence of existing researches that provide a holistic approach to measure the performance of LPS. Consequently, this research aims to propose a new holistic approach to measure the performance of LPS called valuation. The objectives of this research are: (1) to provide an overview of the current metrics used to measure the performance of LPS, (2) to propose 10 steps to measure the performance of LPS based on the valuation approach, (3) to utilize the valuation approach to derive numerous metrics based on all possible relationships between the main and sub (i.e., activity and constraint) categories of LPS that currently available or may emerge in the future. This research contributes to the body of knowledge by deriving metrics based on the valuation approach that are significantly more comprehensive and mathematically more robust since they integrate several criteria and rely on the value rather than the number or amount of activities or constraints. Hence, the valuation approach generates more accurate results. Moreover, the valuation approach can help the construction professionals to track the performance of LPS across phases or even projects by accumulating the data and measuring the proposed metrics.},
     year = {2022}
    }
    

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    AB  - The Last Planner System (LPS) is a production planning and control system that utilizes the lean construction philosophy to improve workflow reliability. Although there are several metrics developed to measure the performance of LPS, the current metrics fail to genuinely reflect the actual performance of LPS. The literature review shows no evidence of existing researches that provide a holistic approach to measure the performance of LPS. Consequently, this research aims to propose a new holistic approach to measure the performance of LPS called valuation. The objectives of this research are: (1) to provide an overview of the current metrics used to measure the performance of LPS, (2) to propose 10 steps to measure the performance of LPS based on the valuation approach, (3) to utilize the valuation approach to derive numerous metrics based on all possible relationships between the main and sub (i.e., activity and constraint) categories of LPS that currently available or may emerge in the future. This research contributes to the body of knowledge by deriving metrics based on the valuation approach that are significantly more comprehensive and mathematically more robust since they integrate several criteria and rely on the value rather than the number or amount of activities or constraints. Hence, the valuation approach generates more accurate results. Moreover, the valuation approach can help the construction professionals to track the performance of LPS across phases or even projects by accumulating the data and measuring the proposed metrics.
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Author Information
  • Department of Engineering Management and Enterprise, University of Debrecen, Debrecen, Hungary

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